메뉴 건너뛰기




Volumn 350, Issue 9076, 1997, Pages 469-472

Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; COLORECTAL CANCER; HUMAN; MAJOR CLINICAL STUDY; OUTCOMES RESEARCH; PREDICTION; PRIORITY JOURNAL;

EID: 0030743761     PISSN: 01406736     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-6736(96)11196-X     Document Type: Article
Times cited : (176)

References (30)
  • 1
    • 0024438696 scopus 로고
    • Dukes' classification revisited
    • Fisher ER, Sass R, Palekar Aet al. Dukes' classification revisited. Cancer. 64:1989;2354-2360.
    • (1989) Cancer , vol.64 , pp. 2354-2360
    • Fisher, E.R.1    Sass, R.2    Palekar, A.3
  • 2
    • 0023213901 scopus 로고
    • A new prognostic classification of rectal cancer
    • Jass JR, Love SB, Northover JMA A new prognostic classification of rectal cancer. Lancet. i:1987;1303-1306.
    • (1987) Lancet , vol.1 , pp. 1303-1306
    • Jass, J.R.1    Love, S.B.2    Northover, J.M.A.3
  • 3
    • 0028230394 scopus 로고
    • Pathologic determinants of survival associated with colorectal cancer with lymph node metastasis
    • Newland RC, Dent OF, Lyttle MNBet al. Pathologic determinants of survival associated with colorectal cancer with lymph node metastasis. Cancer. 73:1994;2076-2082.
    • (1994) Cancer , vol.73 , pp. 2076-2082
    • Newland, R.C.1    Dent, O.F.2    Lyttle Mnb3
  • 6
    • 85030295424 scopus 로고    scopus 로고
    • Stuttgart Neural Network Simulator V4.0. Institute for Parallel and Distributed High Performance Systems, University of Stuttgart, Germany, ftp.informatik.uni-stuttgart.de.
    • Stuttgart Neural Network Simulator V4.0. Institute for Parallel and Distributed High Performance Systems, University of Stuttgart, Germany, ftp.informatik.uni-stuttgart.de.
  • 7
    • 0022471098 scopus 로고
    • Learning representations by back propagating errors
    • Rumelhart D, Hinton G, Williams R Learning representations by back propagating errors. Nature. 323:1986;533-536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 8
    • 84970846412 scopus 로고
    • Diagnostic tests 2: Predictive values
    • Altman DG, Bland MJ Diagnostic tests 2: predictive values. BMJ. 309:1994;102.
    • (1994) BMJ , vol.309 , pp. 102
    • Altman, D.G.1    Bland, M.J.2
  • 9
    • 0025934806 scopus 로고
    • Use of an artificial neural network for the diagnosis of myocardial infarction
    • Baxt WG Use of an artificial neural network for the diagnosis of myocardial infarction. Ann Intern Med. 115:1991;843-848.
    • (1991) Ann Intern Med , vol.115 , pp. 843-848
    • Baxt, W.G.1
  • 10
    • 0028788276 scopus 로고
    • Application of neural networks to clinical medicine
    • Baxt WG Application of neural networks to clinical medicine. Lancet. 346:1995;1135-1138.
    • (1995) Lancet , vol.346 , pp. 1135-1138
    • Baxt, W.G.1
  • 11
    • 0028261647 scopus 로고
    • Predicting outcomes after liver transplantation
    • Doye HR, Dvorchik I, Mitchell Set al. Predicting outcomes after liver transplantation. Ann Surg. 219:1994;408-415.
    • (1994) Ann Surg , vol.219 , pp. 408-415
    • Doye, H.R.1    Dvorchik, I.2    Mitchell, S.3
  • 12
    • 0026794564 scopus 로고
    • A practical application of neural network analysis for predicting outcome of individual breast cancer patients
    • Ravdin PM, Clark GM A practical application of neural network analysis for predicting outcome of individual breast cancer patients. Breast Cancer Res Treat. 22:1992;285-293.
    • (1992) Breast Cancer Res Treat , vol.22 , pp. 285-293
    • Ravdin, P.M.1    Clark, G.M.2
  • 13
    • 0026778445 scopus 로고
    • A demonstration that breast cancer recurrence can be predicted by neural network analysis
    • Ravdin PM, Clark GM, Hilsenbeck SGet al. A demonstration that breast cancer recurrence can be predicted by neural network analysis. Breast Cancer Res Treat. 21:1992;47-53.
    • (1992) Breast Cancer Res Treat , vol.21 , pp. 47-53
    • Ravdin, P.M.1    Clark, G.M.2    Hilsenbeck, S.G.3
  • 14
    • 0026466302 scopus 로고
    • Treatment decisions in auxillary node-negative breast cancer patients
    • McGuire WL, Tandon AK, Allred DCet al. Treatment decisions in auxillary node-negative breast cancer patients. J Natl Cancer Inst Monogr. 11:1992;173-180.
    • (1992) J Natl Cancer Inst Monogr , vol.11 , pp. 173-180
    • McGuire, W.L.1    Tandon, A.K.2    Allred, D.C.3
  • 15
    • 0028019225 scopus 로고
    • Survival analysis of censored data: Neural network analysis detection of complex interactions between variables
    • DeLaurentis M, Ravdin PM Survival analysis of censored data: neural network analysis detection of complex interactions between variables. Breast Cancer Res Treat. 32:1994;113-118.
    • (1994) Breast Cancer Res Treat , vol.32 , pp. 113-118
    • Delaurentis, M.1    Ravdin, P.M.2
  • 16
    • 0027942035 scopus 로고
    • Prognostic factors: Rationale and methods of analysis and integration
    • Clark GM, Hilsenbeck SG, Ravdin PMet al. Prognostic factors: rationale and methods of analysis and integration. Breast Cancer Res Treat. 32:1994;105-112.
    • (1994) Breast Cancer Res Treat , vol.32 , pp. 105-112
    • Clark, G.M.1    Hilsenbeck, S.G.2    Ravdin, P.M.3
  • 17
    • 0003868212 scopus 로고
    • Readings in medical artificial intelligence: The first decade
    • MA: Addison Wesley
    • Clancey WJ, Shortliffe EH, eds. Readings in medical artificial intelligence: the first decade. Reading, MA: Addison Wesley, 1984.
    • (1984) Reading
    • Clancey, W.J.1    Shortliffe, E.H.2
  • 18
    • 0028242397 scopus 로고
    • A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching
    • Baxt WG A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching. Med Decision Making. 14:1994;217-222.
    • (1994) Med Decision Making , vol.14 , pp. 217-222
    • Baxt, W.G.1
  • 19
    • 0015320817 scopus 로고
    • Computer aided diagnosis: Description of an adaptable system, and operational experience with 2,034 cases
    • Horrocks JC, McCann AP, Staniland JRet al. Computer aided diagnosis: description of an adaptable system, and operational experience with 2,034 cases. BMJ. ii:1972;5-9.
    • (1972) BMJ , vol.2 , pp. 5-9
    • Horrocks, J.C.1    McCann, A.P.2    Staniland Jr3
  • 20
    • 0038345353 scopus 로고
    • Medical diagnosis: Present past and future I, present-concepts of the meaning and limitations of medical diagnosis
    • Engle RL, Davis BJ Medical diagnosis: present past and future I, present-concepts of the meaning and limitations of medical diagnosis. Arch Intern Med. 112:1963;108-115.
    • (1963) Arch Intern Med , vol.112 , pp. 108-115
    • Engle, R.L.1    Davis, B.J.2
  • 21
    • 75549102710 scopus 로고
    • Medical diagnosis: Present past and future III, diagnosis - The future including a critique on the use of electronic computers as diagnostic aids to the physician
    • Engle RL Medical diagnosis: present past and future III, diagnosis - the future including a critique on the use of electronic computers as diagnostic aids to the physician. Arch Intern Med. 112:1963;126-139.
    • (1963) Arch Intern Med , vol.112 , pp. 126-139
    • Engle, R.L.1
  • 22
    • 0016033122 scopus 로고
    • Mathematical models in medical diagnosis
    • Croft DJ, Machol RE Mathematical models in medical diagnosis. Ann Biomed Engin. 2:1974;69-89.
    • (1974) Ann Biomed Engin , vol.2 , pp. 69-89
    • Croft, D.J.1    MacHol, R.E.2
  • 23
    • 0000335983 scopus 로고
    • Bayesian methods for backpropagation networks
    • In: Domay E, van Hemmen JL, Schulten K, eds. New York: Springer Verlag
    • MacKay DJC. Bayesian methods for backpropagation networks. In: Domay E, van Hemmen JL, Schulten K, eds. Models for neural networks III. New York: Springer Verlag, 1994.
    • (1994) Models for Neural Networks III
    • MacKay, D.J.C.1
  • 24
    • 0028328448 scopus 로고
    • A technique for using neural network analysis to perform survival analysis of censored data
    • De Laurentis M, Ravdin P A technique for using neural network analysis to perform survival analysis of censored data. Cancer Lett. 77:1994;127-138.
    • (1994) Cancer Lett , vol.77 , pp. 127-138
    • De Laurentis, M.1    Ravdin, P.2
  • 27
    • 0001683814 scopus 로고
    • Layered neural networks with gaussian hidden units as universal approximations
    • Hartman EJ, Keeler JD, Kowalski JM Layered neural networks with gaussian hidden units as universal approximations. Neural Computation. 2:1990;210-215.
    • (1990) Neural Computation , vol.2 , pp. 210-215
    • Hartman, E.J.1    Keeler, J.D.2    Kowalski, J.M.3
  • 30
    • 0030219072 scopus 로고    scopus 로고
    • Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks
    • Downs J, Harrison RF, Kennedy RL, Cross SS Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks. Artif Intellig Med. 8:1996;403-428.
    • (1996) Artif Intellig Med , vol.8 , pp. 403-428
    • Downs, J.1    Harrison, R.F.2    Kennedy, R.L.3    Cross, S.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.